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Conference Call for Papers

IEEE Big Data 2020 Call for Papers

2020 IEEE International Conference on Big Data (IEEE BigData 2020)

http://bigdataieee.org/BigData2020/

December 10-13, 2020, Atlanta, GA, USA

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.

The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate is 17.0%.

The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications.

We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Atlanta this year.

Example topics of interest includes but is not limited to the following:

1. Big Data Science and Foundations

Novel Theoretical Models for Big Data

New Computational Models for Big Data

Data and Information Quality for Big Data

New Data Standards

2. Big Data Infrastructure

Cloud/Grid/Stream Computing for Big Data

High Performance/Parallel Computing Platforms for Big Data

Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment

Energy-efficient Computing for Big Data

Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data

Software Techniques and Architectures in Cloud/Grid/Stream Computing

Big Data Open Platforms

New Programming Models for Big Data beyond Hadoop/MapReduce, STORM

Software Systems to Support Big Data Computing

3. Big Data Management

Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data

Big Data Analytics in Government, Public Sector and Society in General

Real-life Case Studies of Value Creation through Big Data Analytics

Big Data as a Service

Big Data Industry Standards

Experiences with Big Data Project Deployments

INDUSTRIAL Track

The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).